Learning vector quantization: A review

被引：0
|
作者：
Karayiannis, Nicolaos B. [1 ]
机构：
[1] Univ of Houston, Houston, United States
来源：
International Journal of Smart Engineering System Design | 1997年 / 1卷 / 01期
关键词：
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：33 / 58
相关论文
共 50 条
  • [1] A review of learning vector quantization classifiers
    Nova, David
    Estevez, Pablo A.
    NEURAL COMPUTING & APPLICATIONS, 2014, 25 (3-4): : 511 - 524
  • [2] A review of learning vector quantization classifiers
    David Nova
    Pablo A. Estévez
    Neural Computing and Applications, 2014, 25 : 511 - 524
  • [3] Learning vector quantization
    Kohonen, T.
    Neural Networks, 1988, 1 (1 SUPPL)
  • [4] Aspects in Classification Learning - Review of Recent Developments in Learning Vector Quantization
    Kaden, M.
    Lange, M.
    Nebel, D.
    Riedel, M.
    Geweniger, T.
    Villmann, T.
    FOUNDATIONS OF COMPUTING AND DECISION SCIENCES, 2014, 39 (02) : 79 - 105
  • [5] Vector quantization: a review
    Ze-bin Wu
    Jun-qing Yu
    Frontiers of Information Technology & Electronic Engineering, 2019, 20 : 507 - 524
  • [6] Vector quantization: a review
    Wu, Ze-bin
    Yu, Jun-qing
    FRONTIERS OF INFORMATION TECHNOLOGY & ELECTRONIC ENGINEERING, 2019, 20 (04) : 507 - 524
  • [7] Vector quantization: a review
    Ze-bin WU
    Jun-qing YU
    Frontiers of Information Technology & Electronic Engineering, 2019, 20 (04) : 507 - 524
  • [8] Convergence of Stochastic Vector Quantization and Learning Vector Quantization with Bregman Divergences
    Mavridis, Christos N.
    Baras, John S.
    IFAC PAPERSONLINE, 2020, 53 (02): : 2214 - 2219
  • [9] Alternative learning vector quantization
    Wu, KL
    Yang, MS
    PATTERN RECOGNITION, 2006, 39 (03) : 351 - 362
  • [10] Learning Vector Quantization networks
    Matera, F
    SUBSTANCE USE & MISUSE, 1998, 33 (02) : 271 - 282
12345